Abhiram Sahu

3.9k total citations · 1 hit paper
60 papers, 3.3k citations indexed

About

Abhiram Sahu is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Reproductive Medicine. According to data from OpenAlex, Abhiram Sahu has authored 60 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Endocrine and Autonomic Systems, 28 papers in Cellular and Molecular Neuroscience and 28 papers in Reproductive Medicine. Recurrent topics in Abhiram Sahu's work include Regulation of Appetite and Obesity (32 papers), Neuropeptides and Animal Physiology (28 papers) and Hypothalamic control of reproductive hormones (26 papers). Abhiram Sahu is often cited by papers focused on Regulation of Appetite and Obesity (32 papers), Neuropeptides and Animal Physiology (28 papers) and Hypothalamic control of reproductive hormones (26 papers). Abhiram Sahu collaborates with scholars based in United States, India and Canada. Abhiram Sahu's co-authors include Satya P. Kalra, Pushpa S. Kalra, William R. Crowley, Rekha Pal, Michael G. Dube, John T. Clark, Allan Z. Zhao, Anantha S. Metlakunta, K. Tatemoto and A. Balasubramaniam and has published in prestigious journals such as Nature Neuroscience, Brain Research and Endocrinology.

In The Last Decade

Abhiram Sahu

58 papers receiving 3.2k citations

Hit Papers

Food deprivation and inge... 1988 2026 2000 2013 1988 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abhiram Sahu United States 29 2.2k 1.3k 909 878 686 60 3.3k
Gareth Williams United Kingdom 37 2.3k 1.0× 1.1k 0.9× 388 0.4× 810 0.9× 939 1.4× 84 3.6k
Michael Wilkinson Canada 32 1.2k 0.5× 1.0k 0.8× 645 0.7× 356 0.4× 724 1.1× 162 3.4k
James Gardiner United Kingdom 37 1.9k 0.9× 846 0.6× 397 0.4× 814 0.9× 1.0k 1.5× 66 3.7k
Bernard Beck France 32 2.0k 0.9× 1.1k 0.8× 290 0.3× 882 1.0× 807 1.2× 113 2.9k
Michael G. Dube United States 24 2.1k 0.9× 722 0.6× 254 0.3× 989 1.1× 940 1.4× 37 2.7k
Donald J. Marsh United States 32 3.0k 1.4× 1.3k 1.0× 360 0.4× 1.8k 2.1× 1.3k 1.9× 45 4.9k
K. L. Smith United Kingdom 21 1.3k 0.6× 427 0.3× 482 0.5× 567 0.6× 700 1.0× 34 3.0k
Stanley M. Hileman United States 34 2.4k 1.1× 417 0.3× 1.4k 1.5× 934 1.1× 1.4k 2.1× 89 4.9k
Young‐Hwan Jo United States 30 1.9k 0.9× 707 0.5× 188 0.2× 792 0.9× 1.1k 1.6× 63 3.5k
C. J. Small United Kingdom 31 4.1k 1.9× 672 0.5× 356 0.4× 2.3k 2.7× 2.1k 3.0× 42 5.1k

Countries citing papers authored by Abhiram Sahu

Since Specialization
Citations

This map shows the geographic impact of Abhiram Sahu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Abhiram Sahu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhiram Sahu more than expected).

Fields of papers citing papers by Abhiram Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abhiram Sahu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Abhiram Sahu. The network helps show where Abhiram Sahu may publish in the future.

Co-authorship network of co-authors of Abhiram Sahu

This figure shows the co-authorship network connecting the top 25 collaborators of Abhiram Sahu. A scholar is included among the top collaborators of Abhiram Sahu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhiram Sahu. Abhiram Sahu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Anamthathmakula, Prashanth, et al.. (2018). Hypothalamic PDE3B deficiency alters body weight and glucose homeostasis in mouse. Journal of Endocrinology. 239(1). 93–105. 5 indexed citations
2.
Anamthathmakula, Prashanth, et al.. (2016). Hypothalamic Phosphodiesterase 3B Pathway Mediates Anorectic and Body Weight-Reducing Effects of Insulin in Male Mice. Neuroendocrinology. 104(2). 145–156. 10 indexed citations
4.
Litvin, David, et al.. (2011). Phosphodiesterase-3B is expressed in proopiomelanocortin and neuropeptide Y neurons in the mouse hypothalamus. Neuroscience Letters. 505(2). 93–97. 13 indexed citations
5.
Metlakunta, Anantha S., et al.. (2007). Hypothalamic Phosphatidylinositol 3-Kinase Pathway of Leptin Signaling Is Impaired during the Development of Diet-Induced Obesity in FVB/N Mice. Endocrinology. 149(3). 1121–1128. 74 indexed citations
6.
Sahu, Abhiram. (2003). Leptin signaling in the hypothalamus: emphasis on energy homeostasis and leptin resistance. Frontiers in Neuroendocrinology. 24(4). 225–253. 265 indexed citations
7.
Sahu, Abhiram. (2002). Interactions of neuropeptide Y, hypocretin-I (orexin A) and melanin-concentrating hormone on feeding in rats. Brain Research. 944(1-2). 232–238. 39 indexed citations
8.
Winters, Stephen J., Satoru Kawakami, Abhiram Sahu, & Tony M. Plant. (2001). Pituitary Follistatin and Activin Gene Expression, and the Testicular Regulation of FSH in the Adult Rhesus Monkey (Macaca mulatta)*. Endocrinology. 142(7). 2874–2878. 12 indexed citations
9.
Sahu, Abhiram. (1998). Leptin Decreases Food Intake Induced by Melanin-Concentrating Hormone (MCH), Galanin (GAL) and Neuropeptide Y (NPY) in the Rat. Endocrinology. 139(11). 4739–4742. 116 indexed citations
12.
Bonavera, J. J., et al.. (1994). Evidence in support of nitric oxide (NO) involvement in the cyclic release of prolactin and LH surges. Brain Research. 660(1). 175–179. 66 indexed citations
13.
Sahu, Abhiram, William R. Crowley, Pushpa S. Kalra, & Satya P. Kalra. (1992). A selective sexually dimorphic response in the median eminence neuropeptide Y. Brain Research. 573(2). 235–242. 31 indexed citations
14.
Fuentes, Miguel, Abhiram Sahu, & Satya P. Kalra. (1992). Evidence that long-term estrogen treatment disrupts opioid involvement in the induction of pituitary LH surge. Brain Research. 583(1-2). 183–188. 5 indexed citations
15.
Kalra, Satya P., Abhiram Sahu, Michael G. Dube, & Pushpa S. Kalra. (1991). Effects of Various Tachykinins on Pituitary LH Secretion, Feeding, and Sexual Behavior in the Rata. Annals of the New York Academy of Sciences. 632(1). 332–338. 23 indexed citations
16.
Kalra, Pushpa S., Abhiram Sahu, & Satya P. Kalra. (1988). Opiate-Induced Hypersensitivity to Testosterone Feedback: Pituitary Involvement*. Endocrinology. 122(3). 997–1003. 22 indexed citations
17.
Sahu, Abhiram, Michael G. Dube, Satya P. Kalra, & Pushpa S. Kalra. (1988). Bilateral neural transections at the level of mesencephalon increase food intake and reduce latency to onset of feeding in response to neuropeptide Y. Peptides. 9(6). 1269–1273. 53 indexed citations
18.
Kalra, Satya P., L. G. Allen, Abhiram Sahu, Pushpa S. Kalra, & William R. Crowley. (1988). Gonadal steroids and neuropeptide Yopioid-LHRH axis: Interactions and diversities. Journal of Steroid Biochemistry. 30(1-6). 185–193. 38 indexed citations
19.
Sahu, Abhiram. (1984). Histomorphic changes in the ovary during the estrous cycle of a wild rat, Bandicota bengalensis. Canadian Journal of Zoology. 62(6). 1052–1058.
20.
Sahu, Abhiram. (1981). Physiological studies of the ovary and its accessory organs in normal and chemosterilized bandicoot Rats. Shodhganga.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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